PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT DISTINCT ?candidate WHERE {
  VALUES ?election {
    wd:Q93307086 wd:Q93307088 wd:Q93307089 wd:Q96279006
  }
  {
    ?election wdt:P726 ?candidate
  } UNION {
    ?candidate wdt:P3602 ?election
  }
}

Got 8 rows and 1 column:
| ?candidate                           |
| ------------------------------------ |
| Kyriakos Xydias (wd:Q29451269)       |
| Panicos Louroutziatis (wd:Q93307419) |
| Georgios Tsanos (wd:Q93309697)       |
| Andreas Gavrielides (wd:Q93340742)   |
| Pavlos Pavlou (wd:Q93341858)         |
| Marios Oratis (wd:Q93341859)         |
| Andreas Erakleous (wd:Q93341860)     |
| Antonis Kiprianou (wd:Q96279025)     |

The distinct candidates for the Mayor of Germasogeia Municipality Elections are: Kyriakos Xydias, Panicos Louroutziatis, Georgios Tsanos, Andreas Gavrielides, Pavlos Pavlou, Marios Oratis, Andreas Erakleous, and Antonis Kiprianou.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who are the distinct candidates for the Mayor of Germasogeia Municipality Elections?

[Assistant] To answer the question about the distinct candidates for the Mayor of Germasogeia Municipality Elections, we need to identify the relevant entities and properties in the knowledge graph. Let's start by searching for the entity "Germasogeia Municipality" and then look for properties related to elections and candidates.

[Tool]
Top 10 entity alternatives:
1. Germasogeia, also known as Germasogeia Municipality, Yermasoyia Municipality (wd:Q349340): municipality of Limassol District, Republic of Cyprus
2. Germasogeia Municipality municipal elections (wd:Q93306512)
3. Mayor of Germasogeia Municipality (wd:Q54865660): public office in Cyprus
4. Mayor of Germasogeia Municipality Elections (wd:Q93306595)
5. Municipal Councillor of Germasogeia Municipality (wd:Q93306914)
6. 2006 Mayor of Germasogeia Municipality Elections (wd:Q93307086): 4th election of Mayor of Germasogeia
7. 2011 Mayor of Germasogeia Municipality Elections (wd:Q93307088): 5th election of Mayor of Germasogeia
8. 2001 Mayor of Germasogeia Municipality Elections (wd:Q93307085): 3rd election of Mayor of Germasogeia
9. 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089): 6th election of Mayor of Germasogeia
10. 1994 Mayor of Germasogeia Municipality Elections (wd:Q96279006): 1st election of Mayor of Germasogeia

[Assistant]
From the search results, we can see that there are several entities related to the Mayor of Germasogeia Municipality Elections. We will focus on the general entity "Mayor of Germasogeia Municipality Elections" (wd:Q93306595) and look for properties related to candidates.

Let's search for properties that might be used to link candidates to these elections.

[Tool]
Top 10 property alternatives:
1. candidate, also known as candidate in this election, has election candidate, electoral candidate, election has candidate (wd:P726 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person or party that is an option for an office in this election, participant
2. candidacy in election, also known as ran in election, running in election, election candidacy, candidate in election, candidate in (wd:P3602 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): election where the subject is a candidate, participant in
3. successful candidate, also known as election winner, winning candidate, winner of election, election won by, elected (wd:P991 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): person(s) or political organization(s) elected after the election, candidate, winner
4. candidate number, also known as candidate ID, election candidate number, ID of candidate, number of candidate (wd:P4243 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): number of the candidate in an election
5. running mate (wd:P6149 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): second person on a presidential or other electoral ticket
6. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
7. position holder, also known as incumbent, noble title holder, office holder, position held by (wd:P1308 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): persons who hold and/or held the position
8. nominee, also known as award nominee (wd:P2453 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): qualifier used with “nominated for” to specify which person or organization was nominated
9. winner, also known as nominee, prizewinner, titleholder, top dog, victor (wd:P1346 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): winner of a competition or similar event, not to be used for awa...ssibly qualified with "for work" (P1686)) or for wars or battles, participating team, participant
10. member of political party, also known as political party member, political party, party membership, party, member of party (wd:P102 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the political party of which a person is or has been a member or otherwise affiliated, member of

[Assistant]
From the search results, the properties `candidate` (wd:P726) and `candidacy in election` (wd:P3602) seem to be the most relevant for linking candidates to elections. We will use these properties to find the candidates for the Mayor of Germasogeia Municipality Elections.

Let's start with a simple query to find the candidates for the general "Mayor of Germasogeia Municipality Elections" (wd:Q93306595) using the `candidate` property (wd:P726).

```sparql
SELECT DISTINCT ?candidate
WHERE {
  wd:Q93306595 wdt:P726 ?candidate .
}
```

We will execute this query and see if it returns the expected results.

[Tool] Got no rows and 1 columns

[Assistant]
The initial query did not return any results, which suggests that the `candidate` property (wd:P726) might not be used for the specific entity "Mayor of Germasogeia Municipality Elections" (wd:Q93306595). Let's try using the `candidacy in election` property (wd:P3602) instead.

We will modify the query to use the `candidacy in election` property:

```sparql
SELECT DISTINCT ?candidate
WHERE {
  ?candidate wdt:P3602 wd:Q93306595 .
}
```

Let's execute this query and see if it returns the expected results.

[Tool] Got no rows and 1 columns

[Assistant]
The query using the `candidacy in election` property (wd:P3602) also did not return any results. This suggests that the specific entity "Mayor of Germasogeia Municipality Elections" (wd:Q93306595) might not have direct links to candidates using these properties.

Given that the general entity did not yield results, let's try querying the specific election events, such as the 2006, 2011, 2016, and 1994 elections, to see if they have the required information.

We will start with the 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) and use both the `candidate` (wd:P726) and `candidacy in election` (wd:P3602) properties.

```sparql
SELECT DISTINCT ?candidate
WHERE {
  VALUES ?election { wd:Q93307089 }
  { ?election wdt:P726 ?candidate }
  UNION
  { ?candidate wdt:P3602 ?election }
}
```

Let's execute this query and see if it returns the expected results.

[Tool]
Got 6 rows and 1 column:
| ?candidate                           |
| ------------------------------------ |
| Kyriakos Xydias (wd:Q29451269)       |
| Panicos Louroutziatis (wd:Q93307419) |
| Andreas Gavrielides (wd:Q93340742)   |
| Pavlos Pavlou (wd:Q93341858)         |
| Marios Oratis (wd:Q93341859)         |
| Andreas Erakleous (wd:Q93341860)     |

[Assistant]
The query for the 2016 Mayor of Germasogeia Municipality Elections (wd:Q93307089) returned the distinct candidates. To ensure we capture all candidates from different election years, we will extend the query to include the 2006, 2011, and 1994 elections as well.

Here is the updated query:

```sparql
SELECT DISTINCT ?candidate
WHERE {
  VALUES ?election {
    wd:Q93307086  # 2006 Mayor of Germasogeia Municipality Elections
    wd:Q93307088  # 2011 Mayor of Germasogeia Municipality Elections
    wd:Q93307089  # 2016 Mayor of Germasogeia Municipality Elections
    wd:Q96279006  # 1994 Mayor of Germasogeia Municipality Elections
  }
  { ?election wdt:P726 ?candidate }
  UNION
  { ?candidate wdt:P3602 ?election }
}
```

Let's execute this query to get the distinct candidates from all the specified election years.

[Tool]
Got 8 rows and 1 column:
| ?candidate                           |
| ------------------------------------ |
| Kyriakos Xydias (wd:Q29451269)       |
| Panicos Louroutziatis (wd:Q93307419) |
| Georgios Tsanos (wd:Q93309697)       |
| Andreas Gavrielides (wd:Q93340742)   |
| Pavlos Pavlou (wd:Q93341858)         |
| Marios Oratis (wd:Q93341859)         |
| Andreas Erakleous (wd:Q93341860)     |
| Antonis Kiprianou (wd:Q96279025)     |

[Assistant]
The query has successfully returned the distinct candidates for the Mayor of Germasogeia Municipality Elections across multiple years. Here are the distinct candidates:

- Kyriakos Xydias (wd:Q29451269)
- Panicos Louroutziatis (wd:Q93307419)
- Georgios Tsanos (wd:Q93309697)
- Andreas Gavrielides (wd:Q93340742)
- Pavlos Pavlou (wd:Q93341858)
- Marios Oratis (wd:Q93341859)
- Andreas Erakleous (wd:Q93341860)
- Antonis Kiprianou (wd:Q96279025)

We can now provide the final answer to the user question.

```sparql
SELECT DISTINCT ?candidate
WHERE {
  VALUES ?election {
    wd:Q93307086  # 2006 Mayor of Germasogeia Municipality Elections
    wd:Q93307088  # 2011 Mayor of Germasogeia Municipality Elections
    wd:Q93307089  # 2016 Mayor of Germasogeia Municipality Elections
    wd:Q96279006  # 1994 Mayor of Germasogeia Municipality Elections
  }
  { ?election wdt:P726 ?candidate }
  UNION
  { ?candidate wdt:P3602 ?election }
}
```

The distinct candidates for the Mayor of Germasogeia Municipality Elections are:

- Kyriakos Xydias
- Panicos Louroutziatis
- Georgios Tsanos
- Andreas Gavrielides
- Pavlos Pavlou
- Marios Oratis
- Andreas Erakleous
- Antonis Kiprianou

I will now provide the final answer using the `answer` function.

[Tool] Stopped generation process


PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX wd: <http://www.wikidata.org/entity/>
SELECT ( COUNT( ?person ) AS ?count ) WHERE {
  ?person wdt:P21 wd:Q6581072 ; wdt:P19 wd:Q668 .
}

Got 1 row and 1 column:
| ?count |
| ------ |
| 393    |

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] How many women were born in India?

[Assistant]
To answer the question "How many women were born in India?", we need to identify the relevant entities and properties in the knowledge graph:

1. **Entity for India**: We need the identifier for India.
2. **Property for place of birth**: We need the property that indicates where a person was born.
3. **Property for gender**: We need the property that indicates the gender of a person, specifically identifying women.

Let's start by searching for these entities and properties.

### Step 1: Search for the entity "India"
I will search for the entity "India" in the knowledge graph.

[Tool]
Top 10 entity alternatives:
1. India, also known as Republic of India, Indostan, IND, Bharatvarsh, IN (wd:Q668): country in South Asia
2. British Raj, also known as Crown rule in India, the Raj, Raj India, Indian Raj, Indian Empire (wd:Q129286): British colonial rule on the Indian subcontinent (1858–1947)
3. Dominion of India, also known as India, Union of India (wd:Q1775277): period of Indian history between 1947 and 1950
4. India Summer, also known as Autumn Day, Jody Jean Bell, Jody Jean Olson, Sabrina Stifferstem, Indi (wd:Q433047): American pornographic actress, erotic photography model, pornographic actor, film director, fetish model, film actor, actor, model
5. India Summer, also known as India Sumer, India Summers, India, Jody Jean Olson, Sabrina Stifferstem (wd:Q433047): American pornographic actress, erotic photography model, pornographic actor, film director, fetish model, film actor, actor, model
6. Indian National Developmental Inclusive Alliance, also known as I.N.D.I.A., INDIA, INDI Alliance (wd:Q120739928): big-tent opposition coalition led by the Indian National Congress founded in 2023
7. British India, also known as British rule in India, India, India - British (wd:Q112660052): British colonial rule on the Indian subcontinent
8. La India, also known as Linda Caballero, Linda Viera Caballero, India (wd:Q441805): American-Puerto Rican recording artist; singer, salsa musician, recording artist, salsa musician, singer
9. India (wd:Q2060630): cat owned by USA presidential Bush family
10. India, also known as Shamika Brown, India Morel (wd:Q274592): American pornographic actress and rapper, pornographic actor, film actor, rapper, singer, actor

[Assistant]
The correct entity for India is `wd:Q668`.

### Step 2: Search for the property "place of birth"
Next, I will search for the property that indicates the place of birth.

[Tool]
Top 10 property alternatives:
1. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): most specific known birth location of a person, animal or fictional character, location
2. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): date on which the subject was born, inception
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): the object is a country that recognizes the subject as its citizen, country
4. birthday, also known as b-day, bday, birth day (wd:P3150 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): item for day and month on which the subject was born. Used when full "date of birth" (P569) isn't known., date of birth
5. birth name, also known as née, name at birth, name before marriage, ne, né (wd:P1477 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): full name of a person at birth, if different from their current, generally used name, name
6. category for people born here, also known as category for place of birth, category of people born here (wd:P1464 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): category item that groups people born in this place, related category
7. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): place where a statement is valid, applies to part
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. country, also known as sovereign state, state, land, host country (wd:P17 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. commemorates, also known as monument to, memorial to, memorializes, marks, in memory of (wd:P547 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): what the place, monument, memorial, or holiday, commemorates, main subject

[Assistant]
The correct property for "place of birth" is `wdt:P19`.

### Step 3: Search for the property "gender"
Now, I will search for the property that indicates the gender of a person.

[Tool]
Top 10 property alternatives:
1. grammatical gender, also known as gender (wd:P5185 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): grammatical gender of the word
2. sex or gender, also known as gender or sex, sex, gender identity, gender expression, gender (wd:P21 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): sex or gender identity of human or animal. For human: male, fema...m, female organism. Groups of same gender use subclass of (P279)
3. requires grammatical feature, also known as grammatical feature required, required grammatical feature, requires case, requires mood, uses case (wd:P5713 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): grammatical features required or generally used with lexeme or form of lexeme
4. has grammatical gender, also known as grammatical genders, has genders (wd:P5109 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): specific form of noun class system of a language. Use qualifier ... subject of" (P805) to link to language specific item if present
5. personal pronoun, also known as gender pronoun, personal gender pronoun, personal pronouns, PGP, PGPs (wd:P6553 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): personal pronoun(s) this person goes by
6. semantic gender, also known as natural gender (wd:P10339 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): used when a word is only used to refer to people of this gender or to animals of this sex, independent of the grammatical gender
7. female form of label, also known as female form of label (string), female gender sense, feminine form of label (wd:P2521 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): female form of name or title (for male use P3321)
8. gender educated (wd:P7419 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): genders educated at this educational institution
9. male form of label, also known as male form of label (string), male gender sense, masculine form of label (wd:P3321 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): male form of name or title (for female use P2521)
10. given name version for other gender, also known as personal name version for other gender, other genders given name, male version of this female given name, gender inflection of given name, female version of this male given name (wd:P1560 as psv/wdt/psn/pqn/prv/p/wdtn/ps/pr/pqv/prn/pq): equivalent name (with respect to the meaning of the name) in the...n of a female first name. Add primarily the closest matching one

[Assistant]
The correct property for "gender" is `wdt:P21`.

### Step 4: Identify the value for "female"
We need to identify the specific value for "female" in the context of the gender property.

[Tool]
Top 10 entity alternatives:
1. female organism, also known as ♀, female, female animal, female creature, sex — female (wd:Q43445): organism of the female sex
2. Female (wd:Q639354): 1933 Warner Bros. pre-code film
3. female, also known as female human, women, woman, lady, human female (wd:Q6581072): to be used in "sex or gender" (P21) to indicate that the human s...nder" (P10339) to indicate that a word refers to a female person
4. Female, also known as Fîmeiru ,(Female) (wd:Q5442715): 2005 film directed by Shinya Tsukamoto
5. The Female, also known as Female (wd:Q18708947): 1924 film by Sam Wood
6. female connector, also known as female contact, female fastener, female (wd:Q11659367): gender of connectors and fasteners
7. Female (wd:Q47128284): song by Keith Urban
8. Female (wd:Q5442717): 1933 novel by Donald Henderson Clarke
9. Female (wd:Q130232348): enemy type in the 2023 video game World of Horror
10. Female (wd:Q63650079): theatrical character in the play "Yerma"

[Assistant]
The correct entity for "female" in the context of gender is `wd:Q6581072`.

### Step 5: Construct the SPARQL query
Now that we have identified the necessary entities and properties, we can construct the SPARQL query to count the number of women born in India.

```sparql
SELECT (COUNT(?person) AS ?count)
WHERE {
  ?person wdt:P21 wd:Q6581072 ;
          wdt:P19 wd:Q668 .
}
```

This query will count the number of individuals who are female (`wdt:P21 wd:Q6581072`) and were born in India (`wdt:P19 wd:Q668`).

Let's execute this query to get the result.

[Tool]
Got 1 row and 1 column:
| ?count |
| ------ |
| 393    |

[Assistant]
The SPARQL query has returned the count of women born in India. According to the query result, there are 393 women born in India.

Here is the final SPARQL query and the answer:

```sparql
SELECT (COUNT(?person) AS ?count)
WHERE {
  ?person wdt:P21 wd:Q6581072 ;
          wdt:P19 wd:Q668 .
}
```

The answer to the question "How many women were born in India?" is 393.

[Tool] Stopped generation process


Failed to generate SPARQL query

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] What are the 20 most common properties, excluding external IDs, for television series on Moroccan Arabic Wikipedia (https://ary.wikipedia.org/), and what percentage of television series have each property?

[Assistant] To answer this question, we need to identify the properties that are commonly used for television series on Moroccan Arabic Wikipedia. We also need to exclude external IDs and calculate the percentage of television series that have each property. Let's start by finding the entity for Moroccan Arabic Wikipedia and then proceed to find the properties associated with television series.

[Tool]
Top 10 entity alternatives:
1. Moroccan Arabic Wikipedia, also known as arywiki, Wikipedia in Darija, ary.wikipedia.org (wd:Q97393767): Moroccan Arabic-language edition of Wikipedia
2. Arabic Wikipedia, also known as arawiki, arwiki, arwikipedia, ar.wikipedia.org, arwp (wd:Q199700): Arabic-language edition of Wikipedia
3. Moroccan Arabic, also known as Moroccan Vernacular Arabic, Darija, Moroccan Arabic language (wd:Q56426): Maghrebi dialect of the Arabic language spoken in Morocco
4. Egyptian Arabic Wikipedia, also known as Egyptian Wikipedia, arzwp, arz.wikipedia.org, arzwikipedia, arzwiki (wd:Q2374285): Egyptian Arabic-language version of Wikipedia
5. Moroccan Amazigh Wikipedia, also known as Standard Moroccan Amazigh Wikipedia, zghwiki, zgh.wikipedia.org (wd:Q123352442): Moroccan Amazigh language edition of Wikipedia
6. Moroccan Darija dictionary, also known as Moroccan Arabic dictionary (wd:Q115182612): Dictionary of containing Moroccan  Darija words and their meanings
7. 2023 Arabic Wikipedia protest (wd:Q123989156)
8. Main page/ary, also known as Moroccan Arabic main page, main page ary (wd:Q105890335): Wikimedia multilingual project main page in Moroccan Arabic
9. Moroccan Arabic in Arabic script, also known as ary-Arab (wd:Q107198008)
10. WikiProject collaboration with Arabic Wikipedia, also known as WikiProject Arabic (wd:Q21829387): Wikimedia subject-area collaboration

[Assistant]
The correct entity for Moroccan Arabic Wikipedia is `wd:Q97393767`. Now, let's find the properties that are commonly used for television series on this Wikipedia. We will also need to filter out external IDs and calculate the percentage of television series that have each property.

First, we need to identify the property that links articles on Moroccan Arabic Wikipedia to their corresponding Wikidata items. This is typically `P394` (corresponding article in another language).

Next, we will find the properties that are commonly used for television series. We can start by listing the properties used for items linked from Moroccan Arabic Wikipedia articles about television series.

Let's list the properties used for items linked from Moroccan Arabic Wikipedia articles about television series.

[Tool] Got no rows and 3 columns

[Assistant]
It seems there are no direct links from Moroccan Arabic Wikipedia articles to Wikidata items using the `P394` property. This might be because the property is not widely used or the data is not available in this form.

Instead, let's try to find the properties used for television series in general and then filter out external IDs. We can use the `P31` (instance of) property to find items that are instances of television series and then list the properties used for these items.

First, let's find the entity for "television series" in Wikidata.

[Tool]
Top 10 entity alternatives:
1. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
2. Television series (wd:Q53702009): scientific article
3. season, also known as series of television program, TV series, TV season, television series, television season (wd:P4908): season of a series (televison, web, podcast)
4. television series (wd:L501100-S2)
5. children's television series, also known as children's TV series, kids tv, kids TV series (wd:Q1273568): television programs designed for, and marketed to children
6. news broadcasting, also known as news channel, television broadcasting of news, news television series (wd:Q1962634): news published over radio or television
7. Chinese television drama, also known as cdrama, C-drama, Chinese drama, Chinese drama serial, Chinese drama series (wd:Q28195059): Chinese television drama series originating from Mainland China or the Greater China region
8. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series
9. drama television series, also known as drama TV series, dramatic television series, television drama series, TV drama series, drama series (wd:Q1366112): television series genre
10. drama television series, also known as TV drama series, television drama series, drama TV series, drama series, dramatic television series (wd:Q1366112): television series genre